Grafana vs prometheus reddit It's far Prometheus is a database. I am currently in the process of setting up data visualization using Grafana, but I am unsure whether to use InfluxDB or Prometheus as my database. I'm trying to monitor two instances of jenkins with prometheus and grafana and the data is coming in but I get this labels that are really difficult to read. So in case any alerts got triggered (I still need to set up email notifications), my backup share full-ness and quick up/down statuses (tbh the Main server status is useless since grafana and prometheus run on it, but eh) With Prometheus only every few seconds things are collected. Since our typical team workflow is one-service-per-namespace this works and scales well. CheckMK is a fully fledged monitoring solution with pre configured checks and alerting. Grafana - used to ingest data from sources and build dashboards Prometheus - can consolidate and store data from different sources, e. It doesn't have any way to de-duplicate if you run multiple Grafana servers. Grafana is known for its ability to integrate with a wide variety of data sources, including Prometheus, InfluxDB, Graphite, Elasticsearch, and many others. When you frst land on the grafana page, you're greeted with the "Home Dashboard" which has most info I'd need at a glance. Did I get that right? Are ELK and Prometheus InfluxDB Grafana (PIG I guess?) redundant to each other or complementary? Is InfluxDB mandatory? Telegraf has a Prometheus output you can scrape or you can use the http output to stream to cortex/grafana cloud depending on how many servers you are watching and how much stuff you want to run. Prometheus Vs Influxdb. Highly recommended. Reply reply More replies jabies Grafana is a visualization tool (show graphs) for metrics related to OS/VM/Container level (cpu usage, memory and so on). The ESP32 series employs either a Tensilica Xtensa LX6, Xtensa LX7 or a RiscV processor, and both dual-core and single-core variations are available. I've seen people post on here that running those provides a noticeable improvement which makes sense as it grafana used to require a TSDB. We've talked about this at length at Prometheus developer summits. Caddy I guess you got, so just look at the compose files there and spin up Loki and Grafana, on the same network as your Caddy. Hi we currently use Prometheus and Grafana for monitoring and I like the solution, however the previous admin has configured alerting really badly form what I can tell and looking for advice as I new to Prometheus / Grafana. I am thinking that using a CronJob, Pushgateway and Prometheus we could execute the heavy queries once, store the results in Prometheus and have blazing fast dashboards in Grafana as a result. I love Prometheus and Grafana too! Use it for my lab. The QL format for Tempo is similar to Loki and Prometheus, so you will have it a lot easier to query traces. Nov 3, 2023 · Grafana, on the other hand, is an open-source analytics and monitoring platform that can be integrated with various data sources, including Prometheus. But the downside in my opinion is that the devs have to learn different tools, need a bit more work to export all the data to these tools and also have to host it themselves (or pay someone such as GrafanaCloud). Grafana can use both prometheus and cloudwatch as a data source. From what I can tell we have two instances of Prometheus setup in different DC’s. However I wouldn't chose prometheus but Victoria metrics instead which is a prometheus compatible solution that offer long term storage plus possibilities to turn monitoring into a cluster in case of need, which prometheus do not. It's possible to run alert managers in a cluster, Prometheus is a bit tricky. Loki (logging back end), Mimir (prom/graphite back end) and Tempo (tracing) are Grafana Labs projects (open source and offered in the cloud). 3 etc Welcome to your friendly /r/homelab, where techies and sysadmin from everywhere are welcome to share their labs, projects, builds, etc. After all, the vision for Mimir is not to be the best, most scalable Prometheus backend, but to be the best, most scalable time series database. Each Instance monitors its own DC. Luckily Traefik can expose metrics about the EntryPoints, Routers and Service etc. large EC2 for my dev environment, but my Loki Fargate cluster is maybe 8x the size of that in resources so that it can ingest and query relatively efficiently) There is space for using both however. It's hard to make HA, since it depends on an instance of Grafana server. Install kube-Prometheus to get the Prometheus operator, an HA Prometheus, and HA Alertmanager, Grafana, and a bunch of alerting rules and dashboards. Grafana the product is the display layer. Cloud Option: Grafana Wins Prometheus. Some doubts I have: What New Relic does better than Grafana + Prometheus? How complex it is to implement a monitoring system in New Relic? Maybe bring up the concerns about metrics with Splunk. Comes with another component called Alertmanager that handles alerting. The other way is to add the additional datasource in the Grafana section of the kube-prometheus-stack values. one other cool thing is its native integration with Grafana (and everyone loves Grafana :) ). My only problem with grafana is that you have to create a dashboard to set up the alert on. I'm not sure about the specifics, but supposedly they support Prometheus remote write, so you can use Splunk as the front-end. g its own node-exporter, or Netdata, or othes. But AFAIK for Grafana you need to configure each one of the services (ex Loki or Prometheus) with ports etc… Where as with Aspire I just expose an OTEL-endpoint and it’s done. yaml. I wanted a way to downsample the data without having to create all the Grafana dashboards by hand, so I wrote a simple script that scrapes the netdata API and then automatically generates Grafana dashboard for each server with stats on the autodiscovered services. I personally use Victoriametrics and Loki. We want multienancy and with retention period of 2years. The easiest part is hosting Grafana on your own, you could even just run it with SQLite really good. Scraping over WAN links is bad monitoring as you're monitoring the WAN as a side effect. It’s basically Prometheus for logs. 119K subscribers in the kubernetes community. There are 200 servers divided in different clusters. A trade-off is that Prometheus+Grafana doesn't include the configuration tracking functionality of Observium and doesn't downsample its data and as a result uses far more storage for the same time period. It fits both machine-centric monitoring as well as monitoring of highly dynamic service-oriented architectures. Dev alerts are configured in grafana instead of prometheus. The Netdata Agent is designed to run on each node that needs to be monitored to collect data on that node (though some collectors can pull metrics from arbitrary endpoints). Grafana allows you to write PromQL queries and display "panels" so you can make dashboards from multiple queries. You can self host Grafana as well, so that would get rid of the cost of paying for cloud, so you'd need to see what works out cheaper/easier for you, but I reckon you can save £££ if you go the Grafana route. Previously, i used to create Grafana datasources in Loki or prometheus, but now? We have a meta controller for the Prometheus Operator. Prometheus Agent Mode vs. If you are using Grafana, prometheus and Loki, then moving to Tempo makes sense. env and this to be added to your Caddyfile so you can access grafana. Should look something like this for compose and this for . Cause a number count doesnt mean mmuch if i dont know what failed. Now I'm at a company with datadog and it's awfulllll. Influxdb can store both but because of how influx is designed it isnt great at storing logs and the grafana ux for influxdb2 isn't great. (For example, I run prometheus on a single t3. As a generic tool for creating dashboard, with some work, it can give you "what you want" rather than "everything" (large dashboards aren't really Grafana's strength, and certainly not real time). 2 event based reloads 2. In grafana I can do the same visualizations, however I can also easily create dropdowns, search boxes, pull whatever type of database I want and use it as input, and various other things as far as I can tell Kibana is lacking. On the whole though Loki is very nice and pairing with Grafana is amazing as I can blend Prometheus metrics with logs for the application/server monitored. If you're using Prometheus locally with kube-prometheus-stack, you want to stick to PrometheusRule. Mimir is 100% Prometheus compatible, so you can see all the configuration in Grafana for things like Alertmanager and Ruler. Here's a detailed comparison of their key features to help you understand which one (or ideally, how both!) can best address your monitoring needs: May 1, 2023 · Grafana announced their agent back in March of 2020 and as of November 2021 it was donated upstream to Prometheus and made available under an experimental flag. Grafana alerting, while "easy", has a number of downsides. I don't know how intensive Telegraf is to set up, but setting up prometheus, grafana and setting up exporters on a few devices takes less than an hour. Tried the Jenkins exporter from the Prometheus site. Prometheus does fancy things like interpolation and timestamps automatically. Additionally, the way AlertManager and Prometheus work is much more Complex than how Grafana just polls the API every minute. They're actually growing to be very Prometheus friendly. I used to use checkmk back when I replied, but have since switched to the prometheus/grafana-agent. Pros of Prometheus with Grafana: 1. This is awesome, since it allow me to push metrics to prometheus and then prometheus/alertmanager works great and is all done via YAML, this also allows to keep alert rules in gitea. I use Prometheus/Grafana and it's fantastic. I am exploring the idea of using Prometheus Alert Manager to ship alerts to a Teams channel as and when an alarm is triggered inside CloudWatch. Grafana itself will not be your issue, so the question is somewhat misaligned. : 2. I'd like to setup Grafana and Prometheus in my home lab, will it work if I have multiple containers/VMs each with unique IPs or do all my services need to be in one VM/container for it to work? Would like to run Prometheus and Grafana in a docker container if possible and would appreciate a guide on how to get it setup. Otherwise Prometheus/Grafana all the way. Data Source Integration. Data capture. 3 parts. But you get the point it’s what stores the time series data that grafana displays in the case of this system it’s 100% interchangeable with InfluxDB (which is a database) I used to run the influxdb and switched to Prometheus recently, I didn’t notice any major differences in It consist of basics on Monitoring and Visualization using Prometheus, Grafana starting from setting up Prometheus & Grafana, the basic configurations, Alerting rules, creating dashboards, real use cases, deploying using docker containers , usage of alert manager and alerting through emails, slack etc. On the other hand, you could go full Grafana obesrvability and do Prometheus + Loki + Grafana. Like most stuff for 60 days and some for 2 years. Alternatively, you could use Grafana Agents and Mimir. Very flexible, but strictly concerned with time-series performance metrics, so no log ingestion or application tracing (Although Loki from Grafana is designed to be Prometheus for log ingestion). Disclaimer I'm with Grafana. Hello, I'm a Prometheus + Grafana user and most of my system metrics are centralized at Grafana. x to 10. In the below graph for irate() for 2 different resolutions the graph looks the same. . For instance, I use it to monitor resource usage for VM's. And I like that the syntax is quite similar to Prometheus and Grafana is great and Loki also supports alert using Alertmanager (comes with most Prometheus deployments). We looked into using Grafana alerts over Prometheus alerts and found the parameterisation options were as strong as Prometheus’ config, I think they plan to update it it in the future but we found Grafanas nicer as you could bundle them with the dashboard and have multiple teams consuming more easily Hi, I've heard recently that if you create an alert in Grafana it will then be handled by the Prometheus'es alertmanager. Not saying it's not ment to be used as an enterprise solution though! My point of view is that it requires much more knowledge then some other turnkey solutions and I don't feel comfortable setting this up in our organization, knowing that I'm the only one who can maintain it. I'm in the middle of manual migration from Grafana 8. Added vector for getting ALB logs from s3 to Loki and now the only thing left before perfection is Thanos or smth else to use s3 for Prometheus metrics as well. Jun 4, 2024 · Similarities and Comparisons of Grafana vs. Generally it's recommended to use the Prometheus internal alerting. We put a fair amount of free stuff in Grafana Cloud (front and back-ends) - 3 users, 50gb logs, 10k series metrics, 50gb traces, on-call, k6 (testing) and a variety of other Don't even get me started on this feature. It’s great at storing metrics over time. Obviously the whole shtick is that Prometheus is a time series DB and Grafana is meant for visualizing that data, but I have found people, devs especially, want to use them for non time series, instant data that would be better suited being displayed by something else, or ideally, just by correlating time series data with log entries. If you go this route I’d recommend looking into grafana Loki for logs. This sounds totally wrong, all point of operators is to: Validate data before allowing saving the crd Reading crds and creating k8s resources that would be used by other resources, f. Setup/configuration should be a tiny proportion of time spent with your monitoring tools. That way if a developer ever comes to me and says "I need more RAM for this VM" I can show him that he hasn't hit over 60% usage in the last 6 months. Poor review missing key players and biased. Thanks! The first bullet point there says - Have Grafana, Loki, Caddy working. Yeah. Maybe you mean averaged out over time because the metrics only get collected every couple of seconds but I don't see how Prometheus solves this, for base metrics it hooks into the same source. Telegraf supports the Prometheus protocol (and other agent-less protocol, like SNMP or HTTP), so you can have a single Telegraf instance that collects data from all your systems, pretty much the same as Prometheus. I don't have any recommended documentation for prometheus grafana, but googling "Prometheus grafana tutorial" or "getting started" should give you plenty of resources. Kubernetes discussion, news, support, and link sharing. In my experience oss community is doing a great job in reducing complexity and making this monitoring setup pretty easy to operate. We typically use Grafana for viewing data over time. You can do this using the API, but its clutter that you end up putting in a Folder. Simply open a new dashboard and try a few experiments. I suppose you could run both in containers on the same system, which would remove some of the slowdown from running it between two systems on a network. Think of Grafana adding the `scrape_interval` setting to the Prometheus datasource for the purpose - of allowing the use `$__rate_interval` in PromQL queries only to fix this. I'm currently settings ups a Grafana to have a nice dashboard with my OPNSense firewall. Grafana is just for visualizing metrics gathered from CheckMK, Prometheus and Loki. I'm looking to hear more opinions about New Relic users to see if it's worth it. I'll admit, it's quite a bit to manage; the Mimir setup, not counting the Minio cluster, is over 100 pods and a few-hundred GiB of memory. Kibana vs. for alerting: Prometheus Alertmanager to Slack. Monitor Traefik with Grafana, Prometheus & Loki We all want insights into how much traffic our applications are using and how they are prefomring. You can also have Grafana host the whole LGTM stack for you. It spins up a Prometheus per Kubernetes namespace. Prometheus by default reads all most important metrics in k8s so there is barely any setup. Though CheckMK doesn't need grafana to visualize metrics because it does that itself. Dont see any difference and also get some errors when trying to launch it about : File "jenkins_exporter. (We have a very large spend with them too) If you need good APM, New Relic is actually worth the pricing. I figured this all out when we were migrating from grafana/loki-stack loki to grafana/loki loki. The bottleneck will be in the SNMP polling and data ingestion for which I do not have personal experience. Kibana vs Grafana I'm wondering why anyone would use Kibana when it seems so limited compared to Grafana. There are tools like Thanos and Grafana mimir as well that expose prometheus endpoints as well, that you can setup the local prometheus instances to remote write to. Prometheus and InfluxDB are open-source systems that were created to make monitoring app performance easier. Good luck, and have fun! Knowledge in this area will set you apart from other students Edit: just clicked on your profile In the opening keynote of GrafanaCON 2024, we announced our newest OSS project: Grafana Alloy, our open source distribution of the OpenTelemetry Collector. If you have any questions, feel free to hit me up. Grafana is a presentation platform, not monitoring, Prometheus is the equivalent to Zabbix but part of the same stack. Remember that Prometheus isn't a generic TSDB, it's an opinionated monitoring platform. py", line 11, in <module> from prometheus_client import start_http_server ImportError: No module named prometheus_client Yes. I'm trying to grok how Otel fits in with Prometheus and I think part of the confusion stems from the fact both Otel and Prometheus are more than one thing: Otel seems to be (manual/automatic) code instrumentation and a collector and a spec, whilst Prometheus is code instrumentation and a tsdb storage backend. From my understanding, data needs to be pushed to InfluxDB, would that require a push service, such as a small Python server, to pull data from sources that do not support pushing data and then push Sep 24, 2024 · While both Prometheus and Grafana are popular tools in the monitoring landscape, they serve distinct purposes. Starting from scratch with Influxdb, Telegraf, Prometheus, Grafana - Docker Compose full stack Grafana's docs have an example here, where it even mentions using Minio. ESP32 is a series of low cost, low power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. Alert manager can be added for the alarms (alerts). As per prometheus docs irate() calculates the per second instant rate based on the last two data points. Prometheus could easily support this, but nobody has stepped forward to write the code. The Prometheus query language is a pain in the ass to learn, and it's harder on your users if you have them doing data exploration. We added the loki datasource in the kube-prometheus-stack values. 2 configmap/secret with confis based on data from resources 2. You likely will use no data alerts in Grafana, and this is an antipattern With Alertmanager you can use an entire opensource ecosystem like cloudflare/pint for example you have the option to integrate Alertmanager alerts with Grafana (and if everything is ok with Grafana native alerts, why they would add this functionality) Prometheus Grafana vs EFK stack Hi there, I am doing research on comparative analysis between prometheus-Grafana and efk (elastic, fluentd and Kibana) stack, but since efk is a distributed stack of different technologies, there aren't many direct comparison available on internet. Thanks in advance. Could someone please share feedback on my understanding of the tools? Grafana needs to pull its data being monitored from source. To us it is very cool, and is one of the selling points of Loki My organization is trying to use AWS Prometheus and Loki and Tempo OpenTelemetry. Using Prometheus and Grafana to monitor Kubernetes is fairly common, for a number of reasons: It’s completely free! Other Kubernetes monitoring solutions may have free tiers, but most impose fees based on data volume, number of hosts, user seats or some other mechanism. This includes exporters, logs, and traces that go beyond what the Prometheus Agent. Additionally, Grafana contributes lots of code back to Prometheus and obviously code to Grafana Mimir, which also runs in Grafana Cloud. Grafana is only for the 3rd part and is best of breed and compatible with many storage solutions. I'm using Grafana to show data from Prometheus, Node Exporter and InfluxDB. All hosted of course in a "Monitoring" and/or Logging VM. Grafana, prometheus and loki, the new grafana 8 alarms are really nice, way easier to monitor thousands of pods and nodes with a few promql queries with discord webhooks Reply reply Smooth-Zucchini4923 I had a discussion this morning with one of my customers where he mentioned that their previous setup of Prometheus and grafana worked way faster than their current Splunk dashboards. Grafana Agent concept is that it is more batteries included. You can select a time range, and in a split pane view both logs AND metrics that correspond to that time period. The main dashboard I use indeed has so many rows and panels. Don't quote me, but I think you'd find even that is cheaper than DD. My main complaint about Loki is people saying that it will seamlessly integrate with Prometheus metrics in Grafana, forgetting to tell that you have to put in the effort of labelling things accordingly :D And changing labels isn't as easy in Loki as it is to reprocess things in elasticsearch :) From the prometheus overview docs: When does it fit? Prometheus works well for recording any purely numeric time series. That's where Mimir is slightly better. I would say it is fairly flexible. Prometheus All three tools are open-source projects designed for monitoring and observability. Check out our look back at Mimir's first year looking at all the improvements and new features released in the last year and what's coming next in today's Grafana Labs blog post. It's pretty easy to implement exporters if you have internal apps. Prometheus and k8s are soul mates. Just awesome. Yes the grafana-agent collects logs,metrics and traces (opentel). You could also look for Prometheus based metric ingestion if you find a tool which does the SNMP polling and exposes the data in Prometheus compatible format. What people tend to refer to as Grafana the stack is the LGTM stack, that has back ends for Metrics, Logs and Traces. Whereas with something like powerbi, you can get a lot done while being a novice at whatever query language you're using. As we use kubernetes and nginx ingress controller we use prometheus to collect metrics through nginx ingress controller. I need to prepare a dashboard which can tell how many server are using more than 75% cpu. But one could argue we should send the results to the database instead. Worth checking out the paid versions of grafana and Loki, Prometheus so you collect what you want, when you want, if APM is a requirement then Grafana v7 supports trace and span data from zipkin/ jaeger and Loki for logs, which we have found great for event streaming and tying back to metrics / traces when we do want to investigate fully. Nov 19, 2024 · Kubernetes Monitoring with Prometheus and Grafana . A lot more stable and integrates with Grafana as easily as Prometheus. Explore that - should be great for learning! First, I would suggest exploring Grafana once the Loki datasource is configured. But I would be expecting Grafana to not load everything at once, especially hidden panels. Prometheus Vs Influxdb What is Prometheus? Prometheus is a monitoring tool and time-series database that is open source. Posted by u/miqueltango - 3 votes and 1 comment ( niginx, apache, jvm, and so on). The Grafana Agent's original intent was to focus on writing a prometheus-inspired scraper without the alerting and tsdb. Once brought into production as a centralized ingestion point for Prometheus to remote write to from every cluster, it was smooth like butter. Explore how to create a highly available version of Prometheus & alertmanagers. Everything is running on a single Raspberry PI. Prometheus doesn't support this, so had to put up two different instances. If you want a single view of data you have in elastic and prom you can do that with grafana because of their data source plugins. Something like 8 rows with 10 panels each. Honestly Prometheus based solutions are simple in a meaning that there is a lot of tutorials and know-how. (we'll be using s3 for long term) From an architectural standpoint, Netdata is somewhat different from typical Grafana setups. Prometheus has the concept of remote writers (for recording metrics) and remote readers (for servicing queries over the metrics). Zabbix had a learning curve but very powerful, I use Zabbix and Grafana on my lab I’ve run both and I prefer Prometheus and grafana. Alloy is a telemetry collector that is 100% OTLP compatible and offers native pipelines for OpenTelemetry and Prometheus telemetry formats, supporting metrics, logs, traces, and profiles. Grafana feels snappy even on slower hardware. This also allows for longer term retention and querying through s3 storage as well and compaction capabilities. . (Mimir will do the ruling stuff for you). My background is in software engineering. I find it intuitively false but can't find any source stating that Grafana has it's own alerts and these have nothing to do with the alertmanager from Prometheus. I tested both in staging environments and Thanos won every time. So it should figure way down the list of priorities in choosing a tool. Hi there, i'm new to Grafana Alloy, and i can't understand how to read data retrieved by Grafana Alloy in Grafana (in a docker container). Throw on Loki for logging, jaeger for APM, and you have a lightweight monitoring solution that compares favorably with those expensive SaaS solutions. Reply reply esity We have 9 clusters and we have 9 Prometheus running and Each of these 9 cluster is connected to a different central cluster (where grafana is running). In a world of microservices, its support for multi-dimensional data collection and querying is a particular strength. Mostly I would be using the NMS to keep track of the hardware being up because it seems I can set alerts/graphs/etc for everything else through the Grafana setup Prometheus is a times series datastore it does some other stuff too but I wouldn’t call it a database exactly. and is usually combined with Grafana Yeah, I understand that. Prometheus in docker containers, Grafana isn't but could be. Blackbox Exporter works with Prometheus, you can use it to ping devices, and report the results back to Prometheus. What does this mean if my range is 24h? Thank you. Storage and visualisation (plus possible back end alarming). It's 3-4 sytems I need to be able to troubleshoot without monitoring. Disclaimer: Grafana Developer working on the Grafana Agent. I think if I had to choose 3 - 4 tools to monitor an infrastructure, the order would by now be zabbix, a log aggregation, and something like timescaledb or prometheus with grafana. Should i just use traces ingest (opentel) and forward these traces to tempo, and let grafana-agent ingest the logs and metrics seperately (ingesting and forwarding them to loki and prometheus) ? I went with full grafana stack: Loki, Promtail, Tempo, S3 backend for logs/traces, custom dashboard for logs parsing in grafana. Grafana, Kibana, and Prometheus help users understand system behaviors, anomalies, and potential issues within the infrastructure and facilitate real-time monitoring. x , because since 9. Feb 21, 2024 · Prometheus is an open-source monitoring system with a flexible query language that allows for a dimensional data model to be created. Prometheus itself is a poor man's datastore filling the role of Ealsticsearch in ELK, but InfluxDB is better at it and recommended for keeping data longer term. My Prometheus server is scraping data from multiple targets (more than a 100). I'm seeking ideas and queries for this, have you queries that are must have that I could miss ? I'm using OPNSense with Grafana and Prometheus / node-exporter ! Thanks for your answers ! Explore how to send custom metrics from a file to Prometheus grafana stack. e. Where you're pushing your Prometheus data to Grafana Cloud servers and need to run the alerts in their infra. Azure Metrics and logging are expensive. Use Graylog2 + rsyslog for event logging, very easy to use, powerful management and good alerting system, and Grafana + Prometheus + node_explorer for metrics monitoring. The open source solution involves opentelemetry, grafana, tempo, loki, prometheus and it quickly becomes hell to manage. You can use Prometheus to query (using a language called "PromQL") and graph but most people will use Grafana to create Dashboards. Prometheus gets and stores the metrics. There are defaults in the controller that configure the Prometheus objects and it reads namespace annotations to allow overrides of the defaults. If you want clustering for HA or for horizontal scaling, you need the enterprise version of InfluxDB. I know that Telegraf -> Prometheus or InfluxDB -> Grafana has great dashboards and metrics, but I still can't seem to determine if it can fully replace Zabbix. OSS provides many well known tools such as Grafana, Prometheus, Loki, and so on. Those back ends are all push, not pull so like you say you need something to write to them, generally Prometheus (via remote write to Mimir), Grafana Agent, Telegraf, or the otel collector. This versatility allows users to aggregate data from multiple sources Jun 10, 2024 · Which tool offers better alerting capabilities between Prometheus vs Grafana? In the Prometheus vs Grafana comparison, each tool provides unique advantages for alerting, depending on your specific requirements and setup. Prometheus is also not very hard but you got to keep an eye on the retention period, disk size and maybe the available iops. Prometheus, however, has a very steep learning curve. In fact, `$__rate_interval` is just an x4 of specified `scrape_interval` in the datasource settings. Added prometheus as a data source for my Grafana instance Created a series of queries using the flant statusmap plug in a new dashboard The query I use is based on the expression: I am a newbie in Prometheus and grafana monitoring. Grafana is more agnostic and talks to many different backends including elastic as well as Prometheus. This allows us to see how many 200/404 we had on a special route and monitor it. Prometheus, however, is used more like Zabbix. So for metrics you can use Prometheus or Victoriametrics and Loki for logs. If you also add Tempo for tracing you get some pretty nice integration opportunities. If you want to be able to run it completely yourself I'd look at Telegraf for the agent and Victoriametrics for the datasource so you can use Telegraf to collect data and get to use the Prometheus frontend in grafana Had Prometheus/Grafana at a previous job and it was lovely. Prometheus collects said metrics and stores them in its database. The difficulty is the way Prometheus TSDB blocks are produced. With this design you also have data in Prometheus in case of a WAN outage. Since Prometheus is not intended for long-term storage according to there own documentation, and I was having problems with my memory growth, I want to use InfluxDBv2 as a long-term remote storage for my Prometheus server. Thanks, Ab It does not replace grafana. Reply reply [deleted] The other aspect to consider is how do you plan to visualise the data and alert on it. I am confused between AWS managed Grafana and Grafana Cloud. We are looking into moving from CrowdStrike Falcon Logscale SaaS to Grafana Loki self hosted (on-prem) Does anyone have experience in how much work it is to maintain Loki? We are allready using/hosting Grafana and Prometheus. As I said previously; I have no experience of setting up Grafana or any of the services named in the post. It also depends on exporters being set up on the systems it is monitoring. I run thousands of Telegraf instances on windows servers and they are solid, just make sure to install them as a service so windows can watch them. I've been using Prometheus for years to scrape metrics and vizualize with Grafana. x they fucked up db migration which launches at the first startup on new service version, completely breaking data sources and dashboards (missing/duplicate references, missing columns, DS secrets gone and you are unable to edit both dashboards and data sources). Grafana is commonly used to display dashboards, which will allow you to visually consume a lot of TSDB data. Business Intelligence is the process of utilizing organizational data, technology, analytics, and the knowledge of subject matter experts to create data-driven decisions via dashboards, reports, alerts, and ad-hoc analysis. Grafana is Kibana. It also supports vendor specific APIs and has more than 2,000 plug-ins. It is a “time series database”. I see someone mention AWS Managed Grafana which comes with $5(Viewer only)-$9(Editor) per user Licence Hi all – what resources would you recommend for beginners starting with Grafana and Prometheus? I'll be taking over my team's Grafana dashboards, which were created by an engineer that is no longer on the team. Prometheus open source is more scalable than influxdb. Prometheus et al via Prom Operator in k8s, Thanos for federation. Most people uses Grafana for Prometheus, so chances are that you will be using it. If I got to keep my money together I would host Grafana and Prometheus on my own. Are there any missing features or is one more expensive than the other. It also requires setting up dashboards in Grafana for graphing. The databases are built using an HTTP pull model (with Prometheus stores numbers and Loki stores log files. Comparing Performance and Resource Usage: Grafana Agent vs. Grafana Agent also has an Operator mode if you want to use ServiceMonitor and PodMonitor CustomResources. It’s fairly new and it has a lot of promise. At present I'd go with prometheus + Grafana - Metrics and Loki(Grafana) - Logs. Reply reply pedoh We have the kube stack deployed inside an EKS cluster, with Grafana collecting metric data from CloudWatch (as a datasource). Influxdb requires telegraf to run on the system being monitored Not really. But, when I started using promql I was terrible, and I had to really learn it before I could be useful in grafana. Prometheus/grafana is great as a metrics platform , but the other things you listed are monitoring tools. Need guidance on setting up the alerts using alerts manager vs Grafana inbuilt alerts mechanism? What are the pros and cons of using Grafana to set the alerts vs using the alert manager config file directly? I am doing a POC on this and would need help from the community here based on your expertise and experiences. VictoriaMetrics vmagent if you can force your developers to produce logs in same json format, add opentracing and print traceID to logs, add /metrics endpoint for Prometheus: all of that can be connected together so you can jump from logs to metrics or tracing and back in Grafana. It uses Prometheus as the data store, which is a time series DB with the additional capability to set alerts and so on. I have Grafana configured in a docker compose file with named volumes for preservation of data. IIRC, Grafana alerts in the context of Prometheus are mostly meant for pushing alerts to Mimir and Grafana's cloud service. The remote writer concept is what allows Prometheus to have a swappable data store—you can use Prometheus itself to store metrics, or you can swap in other time series databases like Influx. Prometheus doesn't have the same limitations. I’ve always found kibana more resource intensive. That is, assuming you select the option that includes your whole observability scope. Prometheus however is far, far more efficient at this. The PHP opentel collector only handles traces and metrics i read. If you're willing to put the time and effort into learning it, do it; it will pay off. homelab server and appliance monitoring: Zabbix VS Prometheus? Checkmk brings own agents for Windows and Linux systems, but also supports SNMP, IPMI and Redfish. Grafana prints out nice looking graphs from metrics provided by prometheus. 30 votes, 60 comments. Reply reply Mimir is build on top of Cortex (kind of), is a fork from Grafana who has contribute a lot to Cortex, so is not really "new" Thanos and Cortex/Mimir have different workflow, Thanos is more a "one access point" to multiples Prometheus, and Cortex/Mimir a single point to write Prometheus metrics from multiple Prometheus (via the remote write API) Hey yo, Personally, I recommend alertmanager for multiple reasons. My first choice for grafana would be a TSDB (Time-Series Database) -- or more specifically Prometheus. Period. For us, Zabbix on TimescaleDB is the core monitoring. Additionally, take a look at the Loki documentation, which provides examples and explanations for queries (especially simpler ones). We're ingesting millions of series and it has scaled really well. 1 prom deployment control 2. First, you can integrate it with slack and msteams, in my current company we work with ms teams so it is a plus one reason to not use grafana is that it doesn't support alerting when you're working with variables (which is probably your case if you'll monitor multiple instances/clients of a service with the same prometheus We actually have the same graphs in Grafana and they are a mess. Prometheus does not offer a cloud service or option. And a small team to maintain Loki, so therefor ww are skeptical to self Grafana's popularity over Kibana in certain circles can be attributed to several factors: 1. Having Prometheus close to targets allows it have "less in the way" between it and its targets. Obviously both plataforms were not comparable for several reasons but specially because here they are sending logs and on Prometheus they send metrics. We are quite small 30-50GB pr day of logging. So we're not really trying to replace Prometheus - and there are other Prometheus-compatible scalable projects, we just think ours is the best but we are biased of course :) I hope this novel helps a bit! Furthermore, would recommend Grafana Agent OR Prometheus Agent in this case since you probably don't need the Prometheus UI in each Cluster as well as the Alerting stuff that is inside Prometheus. eihtlh hynth xwbc wrswd wxpmbp xesbgfb rflel kenpv ophoz undj